Module types (1.16.3)

API documentation for videointelligence_v1p2beta1.types module.

Video annotation progress. Included in the metadata field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Video annotation request.

The video data bytes. If unset, the input video(s) should be specified via input_uri. If set, input_uri should be unset.

Additional video context and/or feature-specific parameters.

Optional. Cloud region where annotation should take place. Supported cloud regions: us-east1, us-west1, europe- west1, asia-east1. If no region is specified, a region will be determined based on video file location.

Video annotation response. Included in the response field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

API documentation for videointelligence_v1p2beta1.types.Any class.

API documentation for videointelligence_v1p2beta1.types.CancelOperationRequest class.

API documentation for videointelligence_v1p2beta1.types.DeleteOperationRequest class.

API documentation for videointelligence_v1p2beta1.types.Duration class.

Detected entity from video analysis.

Textual description, e.g. Fixed-gear bicycle.

Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.

Config for EXPLICIT_CONTENT_DETECTION.

Video frame level annotation results for explicit content.

Likelihood of the pornography content..

API documentation for videointelligence_v1p2beta1.types.GetOperationRequest class.

Label annotation.

Common categories for the detected entity. E.g. when the label is Terrier the category is likely dog. And in some cases there might be more than one categories e.g. Terrier could also be a pet.

All video frames where a label was detected.

Config for LABEL_DETECTION.

Whether the video has been shot from a stationary (i.e. non- moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

Video frame level annotation results for label detection.

Confidence that the label is accurate. Range: [0, 1].

Video segment level annotation results for label detection.

Confidence that the label is accurate. Range: [0, 1].

API documentation for videointelligence_v1p2beta1.types.ListOperationsRequest class.

API documentation for videointelligence_v1p2beta1.types.ListOperationsResponse class.

Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].

Top Y coordinate.

Bottom Y coordinate.

Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0—-1 | | 3—-2 When it’s clockwise rotated 180 degrees around the top-left corner it becomes: 2—-3 | | 1—-0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trignometric calculations for location of the box.

X coordinate.

Annotations corresponding to one tracked object.

Object category’s labeling confidence of this track.

Each object track corresponds to one video segment where it appears.

Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.

The timestamp of the frame in microseconds.

API documentation for videointelligence_v1p2beta1.types.Operation class.

API documentation for videointelligence_v1p2beta1.types.OperationInfo class.

Config for SHOT_CHANGE_DETECTION.

API documentation for videointelligence_v1p2beta1.types.Status class.

Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.

All video segments where OCR detected text appears.

Config for TEXT_DETECTION.

Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.

Timestamp of this frame.

Video segment level annotation results for text detection.

Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.

API documentation for videointelligence_v1p2beta1.types.Timestamp class.

Annotation progress for a single video.

Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.

Time of the most recent update.

Annotation results for a single video.

Label annotations on video level or user specified segment level. There is exactly one element for each unique label.

Label annotations on frame level. There is exactly one element for each unique label.

Explicit content annotation.

Annotations for list of objects detected and tracked in video.

Video context and/or feature-specific parameters.

Config for LABEL_DETECTION.

Config for EXPLICIT_CONTENT_DETECTION.

Video segment.

Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).

API documentation for videointelligence_v1p2beta1.types.WaitOperationRequest class.